xgboost-predictor-java 0.3.1+dfsg-2 source package in Ubuntu

Changelog

xgboost-predictor-java (0.3.1+dfsg-2) unstable; urgency=medium

  * Source-only upload to unstable

 -- Pierre Gruet <email address hidden>  Thu, 07 Apr 2022 14:20:14 +0200

Upload details

Uploaded by:
Debian Deep Learning Team
Uploaded to:
Sid
Original maintainer:
Debian Deep Learning Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

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Builds

Kinetic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
xgboost-predictor-java_0.3.1+dfsg-2.dsc 2.2 KiB f2f4c027ba08e2f5fdb62ab51610a49266f6e931a0438ae0ecf4aa80e3f13771
xgboost-predictor-java_0.3.1+dfsg.orig.tar.xz 616.0 KiB c014eb0e233eaef8db113e5ccdedb5938e1f729ce2b83968ea9d3322e5e99f93
xgboost-predictor-java_0.3.1+dfsg-2.debian.tar.xz 5.2 KiB e7d678d96de7951f815c6eced309a6741675da059015a351082427df2ce7b237

No changes file available.

Binary packages built by this source

libxgboost-predictor-java: Java implementation of XGBoost predictor for online prediction tasks

 XGBoost is an optimized distributed gradient boosting library designed to be
 highly efficient, flexible and portable. It implements machine learning
 algorithms under the Gradient Boosting framework. XGBoost provides a parallel
 tree boosting (also known as GBDT, GBM) that solve many data science problems
 in a fast and accurate way. The same code runs on major distributed
 environment (Kubernetes, Hadoop, SGE, MPI, Dask) and can solve problems beyond
 billions of examples.